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LibreOffice 3.4 Calc Guide - The Document Foundation Wiki

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Syntax Description<br />

RANK(value; data; type) Returns the rank of the given Value in a sample. Data is the<br />

array or range of data in the sample. Type (optional) is the<br />

sequence order, either ascending (0) or descending (1).<br />

RSQ(data_Y; data_X) Returns the square of the Pearson correlation coefficient<br />

based on the given values. Data_Y is an array or range of<br />

data points. Data_X is an array or range of data points.<br />

SKEW(number_1; number_2; ...<br />

number_30)<br />

Returns the skewness of a distribution. Number_1;<br />

number_2; ... number_30 are numerical values or ranges.<br />

SLOPE(data_Y; data_X) Returns the slope of the linear regression line. Data_Y is the<br />

array or matrix of Y data. Data_X is the array or matrix of X<br />

data.<br />

SMALL(data; rank_c) Returns the Rank_c-th smallest value in a data set. Data is<br />

the cell range of data. Rank_c is the rank of the value (2nd<br />

smallest, 3rd smallest, etc.) written as an integer.<br />

STANDARDIZE(number; mean;<br />

STDEV)<br />

STDEV(number_1; number_2; ...<br />

number_30)<br />

STDEVA(value_1; value_2; ...<br />

value_30)<br />

STDEVP(number_1; number_2; ...<br />

number_30)<br />

STDEVPA(value_1; value_2; ...<br />

value_30)<br />

Converts a random variable to a normalized value. Number is<br />

the value to be standardized. Mean is the arithmetic mean of<br />

the distribution. STDEV is the standard deviation of the<br />

distribution.<br />

Estimates the standard deviation based on a sample.<br />

Number_1; number_2; ... number_30 are numerical values<br />

or ranges representing a sample based on an entire<br />

population.<br />

<strong>Calc</strong>ulates the standard deviation of an estimation based on a<br />

sample. Value_1; value_2; ... value_30 are values or ranges<br />

representing a sample derived from an entire population. Text<br />

has the value 0.<br />

<strong>Calc</strong>ulates the standard deviation based on the entire<br />

population. Number_1; number_2; ... number_30 are<br />

numerical values or ranges representing a sample based on<br />

an entire population.<br />

<strong>Calc</strong>ulates the standard deviation based on the entire<br />

population. Value_1; value_2; ... value_30 are values or<br />

ranges representing a sample derived from an entire<br />

population. Text has the value 0.<br />

STEYX(data_Y; data_X) Returns the standard error of the predicted y value for each x<br />

in the regression. Data_Y is the array or matrix of Y data.<br />

Data_X is the array or matrix of X data.<br />

TDIST(number; degrees_freedom;<br />

mode)<br />

Returns the t-distribution for the given Number.<br />

Degrees_freedom is the number of degrees of freedom for<br />

the t-distribution. Mode = 1 returns the one-tailed test, Mode<br />

= 2 returns the two-tailed test.<br />

TINV(number; degrees_freedom) Returns the inverse of the t-distribution, for the given Number<br />

associated with the two-tailed t-distribution.<br />

Degrees_freedom is the number of degrees of freedom for<br />

the t-distribution.<br />

Appendix B Description of Functions 375

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